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Intelligent manipulation control for robotic system 机器人系统的智能操纵控制
COMPUTER AND INFORMATION SYSTEMS AND TECHNOLOGIES Pub Date : 2020-04-23 DOI: 10.30837/ivcsitic2020201374
O. Tsymbal, Oleksandr Mordyk
{"title":"Intelligent manipulation control for robotic system","authors":"O. Tsymbal, Oleksandr Mordyk","doi":"10.30837/ivcsitic2020201374","DOIUrl":"https://doi.org/10.30837/ivcsitic2020201374","url":null,"abstract":"There is provided an analysis in development of flexible integrated systems of industrial application. Report shows an increasing importance of intelligent components for control systems. There are considered the basic items on development of intelligent decision-making support systems to solve the manipulation tasks of industrial robots. The language-oriented constructions for knowledge bases of intelligent problem solvers are presented as well as specifications of their practical implementation and perspective development directions.","PeriodicalId":260285,"journal":{"name":"COMPUTER AND INFORMATION SYSTEMS AND TECHNOLOGIES","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122507846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Analytical Estimation Methodology of Compromising Emanations Level Using Monte-Carlo Method 基于蒙特卡罗方法的妥协辐射电平分析估计方法
COMPUTER AND INFORMATION SYSTEMS AND TECHNOLOGIES Pub Date : 2020-04-23 DOI: 10.30837/ivcsitic2020201359
V. Perepadia, V. Zabolotnyj
{"title":"Analytical Estimation Methodology of Compromising Emanations Level Using Monte-Carlo Method","authors":"V. Perepadia, V. Zabolotnyj","doi":"10.30837/ivcsitic2020201359","DOIUrl":"https://doi.org/10.30837/ivcsitic2020201359","url":null,"abstract":". Based on the electromagnetic field theory and the Maxwell equations, the paper describes the physical content and the way of the compromising emanations propagation into the far zone. This allows finding the dependence and methods of influence on of the test signal parameters, which represents a plurality of electrical impulses, with the change in the field strength at the point of conducting reconnaissance at the input of the receiving antenna, namely, in the distant zone of the technical channel of information leakage at the expense of compromising emanations. The main attention is paid to the Monte-Carlo statistical test method, which is used to generate parameters of videotract signals, which determine its shape in the distant zone. Applying the Monte Carlo method for generating values and will allow reasonably to formulate the realization of random parameters of videotract signals for their correct use during the estimation of compromising emanations level and development of measures protection.","PeriodicalId":260285,"journal":{"name":"COMPUTER AND INFORMATION SYSTEMS AND TECHNOLOGIES","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125625325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The model retrieves software behavior information using a hierarchical model of nested auto-associating neural networks 该模型使用嵌套自关联神经网络的分层模型检索软件行为信息
COMPUTER AND INFORMATION SYSTEMS AND TECHNOLOGIES Pub Date : 2020-04-22 DOI: 10.30837/ivcsitic2020201132
V. Martovytskyi, I. Ruban, I. Bukin, L. Smyrnov
{"title":"The model retrieves software behavior information using a hierarchical model of nested auto-associating neural networks","authors":"V. Martovytskyi, I. Ruban, I. Bukin, L. Smyrnov","doi":"10.30837/ivcsitic2020201132","DOIUrl":"https://doi.org/10.30837/ivcsitic2020201132","url":null,"abstract":". The existing algorithms for searching for malicious code are imperfect. For the most part, search programs determine the presence of malicious code based on already known samples. Thus, as a part of the study, a model for extracting information from data was developed, containing hierarchically related basic elements based on deep noise-canceling auto-encoders. In addition, the requirements for the model and the necessary operation parameters were determined.","PeriodicalId":260285,"journal":{"name":"COMPUTER AND INFORMATION SYSTEMS AND TECHNOLOGIES","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114154029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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